Internal model-based control for integrating processes

Chia, Tien-Li; Lefkowitz, I.

doi:10.1016/j.isatra.2010.03.012

Cited by 40 publications

(21 citation statements)

References 5 publications

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“…The classical IMC method offers advanced control procedures that can be applied with very good performance to any process with known model, but the found particular control algorithm cannot be used for other processes. Thus, the controller complexity depends mainly on the complexity of the process model and the control system performance stated by the designer [5][6][7][8][9][10]. For these reasons, the control algorithms of IMC type are not widely used in current industrial practice.…”

Section: Introductionmentioning

confidence: 99%

A quasi-universal practical IMC algorithm

Cirtoaje

2017

Automatika

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The control algorithm incorporates a process feedback path of pure proportional type (only for integral-type or unstable processes), a process model of second order plus time delay and a realizable second-order internal controller which has not a tuning filter time constant as usual in the classical IMC design, but a tuning gain with standard value 1, that can be used by the human operator to get a strong or weak control action. The model parameters (steady-state gain, time delay and transient time) can be easily experimentally determined and can be online verified and corrected. The algorithm is practical and quasi-universal because it is easily tunable, has a unique form and can be applied to almost all process types: stable proportional processes (with or without time delay, with or without overshoot, of minimum or nonminimum phase), integral processes and even some unstable processes. The proposed algorithm is better than the proportional-integral-derivative (PID) algorithm (which is also quasi-universal and practical) due to its robustness, high control performance (especially for processes with time delay) and simple experimental procedure for determining the controller parameters. Some applications are presented to highlight the main features of the algorithm and the tuning procedure for all process types.

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Section: Introductionmentioning

confidence: 99%

A quasi-universal practical IMC algorithm

Cirtoaje

2017

Automatika

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“…An extension of the IMC tuning method for the integrating processes may be found in [9]. Shamsuzzoha and Lee [10,11], Chia and Lefkowitz [12] have modeled the integrating processes as stable processes with considerably very large time constants and applied the IMC principle to design PID controllers with improved load-disturbance rejection. An analytical method for PID controller tuning with specified gain and phase margins has been derived in [13].…”

Section: Introductionmentioning

confidence: 99%

A frequency response model matching method for PID controller design for processes with dead-time

Anwar

Pan

2015

ISA Transactions

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“…A good trade-off between system performance and robustness is achieved by choosing the tuning parameter as 0.5. Some of the other recently reported one degree-of-freedom control schemes for integrating processes are Arbogast and Cooper (2007), Ali and Majhi (2010), Ali and Majhi (2011), Hu, Xiao, and Li (2011), and Chia and Lefkowitz (2010.…”

Section: Introductionmentioning

confidence: 99%

Direct synthesis based tuning of the parallel control structure for integrating processes

Ajmeri

Ali

2013

International Journal of Systems Science

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A controller tuned for servo/regulatory application gives significant performance degradation when used for regulatory/servo purpose. The degradation in the overall performance can be minimised by a two degree-of-freedom control structure. The parallel control structure reported recently decouples set-point tracking from disturbance rejection. In the present work, the two controllers of parallel control structure are designed using direct synthesis approach to achieve robust closed-loop performance for a class of integrating processes. Simulation examples show that improved servo and regulatory performances are achieved by the proposed method as compared to the recently reported strategies when the controllers are tuned to have the same degree of robustness.

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Internal model-based control for integrating processes

Cited by 40 publications

References 5 publications

A quasi-universal practical IMC algorithm

A quasi-universal practical IMC algorithm

A frequency response model matching method for PID controller design for processes with dead-time

Direct synthesis based tuning of the parallel control structure for integrating processes

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